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NEW QUESTION: 1
Sie haben eine Tabelle mit dem Namen Table1, die 200 Millionen Zeilen enthält. Tabelle1 enthält eine Spalte mit dem Namen SaleDate mit dem Datentyp DateTime2 (3).
Benutzer berichten, dass die folgende Abfrage langsam ausgeführt wird.

Sie müssen die Zeit reduzieren, die zum Ausführen der Abfrage erforderlich ist.
Womit sollten Sie die WHERE-Anweisung ersetzen?
A. WO 2017 = Jahr (Verkaufsdatum)
B. WHERE cast (Verkaufsdatum als Datum) ZWISCHEN '2017-01-01'
UND '2017-12-31'
C. WHERE cast (Verkaufsdatum als varchar (10)) ZWISCHEN '2017-01-01'
UND '2017-12-31'
D. WHERE SaleDate> = '2017-01-01' AND SaleDate <'2018-01-01'
Answer: B
Explanation:
Explanation
References: https://docs.microsoft.com/en-us/sql/t-sql/queries/select-transact-sql?view=sql-server-2017

NEW QUESTION: 2
Sie haben eine Microsoft SharePoint Online-Website und einen lokalen Dateiserver.
Die Site enthält die in der folgenden Tabelle gezeigten Dateien.

Der Dateiserver enthält die in der folgenden Tabelle aufgeführten Dateien.

Sie migrieren D: \ Folder1 und D: \ Folder2 mithilfe des SharePoint-Migrationstools in die Dokumentbibliothek, wie in der folgenden Abbildung gezeigt.

Wählen Sie für jede der folgenden Aussagen Ja aus, wenn die Aussage wahr ist. Andernfalls wählen Sie Nein.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Answer:
Explanation:

NEW QUESTION: 3
A company plans to use Platform-as-a-Service (PaaS) to create the new data pipeline process. The process must meet the following requirements.
Ingest:
* Access multiple data sources
* Provide the ability to orchestrate workflow
* Provide the capability to run SQL Server Integration Services packages.
Store:
* Optimize storage for big data workloads.
* Provide encryption of data at rest.
* Operate with no size limits.
Prepare and Train:
* Provide a fully-managed and interactive workspace for exploration and visualization.
* Provide the ability to program in R, SQL, Python, Scala, and Java.
* Provide seamless user authentication with Azure Active Directory.
Model & Serve:
* Implement native columnar storage.
* Support for the SQL language
* Provide support for structured streaming.
You need to build the data integration pipeline.
Which technologies should you use? To answer, select the appropriate options in the answer area.

Answer:
Explanation:

Explanation:
Ingest: Azure Data Factory
Azure Data Factory pipelines can execute SSIS packages.
In Azure, the following services and tools will meet the core requirements for pipeline orchestration, control flow, and data movement: Azure Data Factory, Oozie on HDInsight, and SQL Server Integration Services (SSIS).
Store: Data Lake Storage
Data Lake Storage Gen1 provides unlimited storage.
Note: Data at rest includes information that resides in persistent storage on physical media, in any digital format. Microsoft Azure offers a variety of data storage solutions to meet different needs, including file, disk, blob, and table storage. Microsoft also provides encryption to protect Azure SQL Database, Azure Cosmos DB, and Azure Data Lake.
Prepare and Train: Azure Databricks
Azure Databricks provides enterprise-grade Azure security, including Azure Active Directory integration.
With Azure Databricks, you can set up your Apache Spark environment in minutes, autoscale and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch and scikit-learn.
Model and Serve: SQL Data Warehouse
SQL Data Warehouse stores data into relational tables with columnar storage.
Azure SQL Data Warehouse connector now offers efficient and scalable structured streaming write support for SQL Data Warehouse. Access SQL Data Warehouse from Azure Databricks using the SQL Data Warehouse connector.
References:
https://docs.microsoft.com/bs-latn-ba/azure/architecture/data-guide/technology-choices/pipeline-orchestration-data-movement
https://docs.microsoft.com/en-us/azure/azure-databricks/what-is-azure-databricks

NEW QUESTION: 4
Lightningコンポーネントで外部Javascriptライブラリをロードするために使用される<ltng：require>タグの機能は何ですか？ （3つ選択してください。）
A. ドキュメントからファイルをロードしています。
B. 読み込み順序を指定します。
C. 重複するスクリプトの1回限りの読み込み。
D. スクリプトを並行してロードします。
E. 外部でホストされているスクリプトを読み込んでいます。
Answer: B,C,D